Analyze BI Severity Model Tuning

Setup

Rmarkdown Options

knitr::opts_chunk$set(echo = FALSE, out.width = "100%", message = FALSE, warning = FALSE)
library(readr)
library(dplyr)
library(DT)
library(plotly)

root_dir <- "/Users/spencer.matthews/Documents/Research/Hartman/Repos/CAS"
knitr::opts_knit$set(root.dir = root_dir)

Data

rf_log_sev <- read_csv("output/bi_severity_tuning/bi_rf_log_severity_tuning_results.csv")
rf_sev <- read_csv("output/bi_severity_tuning/bi_rf_severity_tuning_results.csv")
gb_log_sev <- read_csv("output/bi_severity_tuning/bi_gb_log_severity_tuning_results.csv")
gb_sev <- read_csv("output/bi_severity_tuning/bi_gb_severity_tuning_results.csv")
nn_log_sev <- read_csv("output/bi_severity_tuning/bi_nn_log_severity_tuning_results.csv")
nn_sev <- read_csv("output/bi_severity_tuning/bi_nn_severity_tuning_results.csv")

Severity Prediction Models (No Transform)

Random Forest Models

Gradient Boosted Models

Neural Network Models

Log Severity Prediction Models (Log Transform)

Random Forest Models

Gradient Boosted Models

Neural Network Models